Severe Falciparum Malaria in Iran: A Very Rare Case From an Endemic Region
Bibliographic record
Abstract
INTRODUCTION: Malaria is a protozoal disease, transmitted to humans by female Anopheles mosquito bite. Plasmodium falciparum, compared to other kinds of Plasmodium, causes more severe malaria and is associated with a higher mortality rate. Annually, one to three million deaths occur due to malaria, especially by P. falciparum. CASE PRESENTATION: In this report, we introduce an Iranian patient suffering from P. falciparum. Peripheral blood smear for malaria parasites showed severe infection of P. falciparum, with 75 to 85 percent of red blood cells containing one to five parasites per cell. However, the patient revealed a fast response to treatment and a good prognosis, suggesting a high level of relative immunity in the patient. To confirm this hypothesis, we conducted a comparative study by comparing the rate of clinical response to treatment as well as the level of prognosis of our patient with similar patients from different regions around the world. These included some malaria cases (caused by P. falciparum) chosen from endemic and nonendemic regions, such as Africa, South Europe and Canada. DISCUSSION: The findings revealed that generally, patients from endemic regions significantly show a greater response to treatment and also a better prognosis in comparison to the patients from nonendemic regions. These differences can plausibly be attributed to a high level of relative immunity in endemic regions. Consequently, we would strongly support the hypothesis that response to treatment and prognosis of malaria is a matter of patients' living environment circumstances. In other words, people who live in endemic regions acquire a high relative immunity leading to a greater response to treatment and a better prognosis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".